AI reveals the current crop of mega trends

AMPLYFI, global business
intelligence and research firm, has applied its leading AI-based technology,
DataVoyant, to identify and statistically quantify mega technology trends out
to 2050 across a range of industries and sectors. In finding, harvesting, and
reading over 1,000,000 open-source documents, such as academic papers, patents,
journals, news items and government white papers, located on both the Surface
and the Deep Web, the machine-driven analysis projects likely future trends and
timescales to next expected peaks in technologies’ maturities.

Of the 2,639 broad themes
identified, the top mega tech trends and where they are likely to really start
impacting our everyday lives are readily identified. Top technologies to watch
out for in 2019 are, unsurprisingly, artificial intelligence, the IoT, and
distributed ledger technologies. Looking beyond this, the realms of energy,
mobility, medicine, and our domestic lives appear strong candidates for
technology-led disruption on multiple fronts.

Projected Mega Tech Trends

2019

Next 5 Years

5 to 10 Years

Beyond 10 Years

AI data collection and analysis

Graphene-based TVs

Solid State Batteries

Implantable Biofuel Cells

3D Printers in Manufacturing

Energy Harvesting Wearable Technologies

High Temperature Super Conductors

Fully Autonomous Cars

Growth in Connected Devices

Robotic Process Automation

AI-driven Medical Diagnosis

Smart Cities

Distributed Ledger Technologies to Improve Digital Security

Universal Personalised Digital Assistants

Bio-printed Organ Transplants

Cybernetic Technologies

Voice-first Machine Interaction

Remote Patient Monitoring

Personalised Medicine

QuantumComputing

The process of generating the
projections required DataVoyant’s proprietary AI algorithms to first identify
key technologies and quantify their relevance based on a number of factors,
including frequency, inter-connectivity to related topics, and importance
within each document that they feature in. Extracting date stamps from websites
and from within documents, the machine then automatically generated historic
trends for each technology. From here, deep learning algorithms enabled the
machine to learn the ‘historic context’ i.e. the changing interconnectedness
and dependencies across hundreds of thousands of variables to create a basis to
project forward into the future.

Chris
Ganje, CEO and co-founder of AMPLYFI comments, “The power of AI to
capture, analyse, and make sense of huge datasets is enabling levels of insight
that were previously impossible under traditional business intelligence and
research techniques. Our analysis of mega tech trends is just one example of
where AI can either affirm or challenge the opinions and perceived wisdom of a
minority of often highly influential commentators. The richness and detail
lying behind the results allow us to spot early-stage convergence between
innovative technologies and business models, as well as track the development
of enabling technologies that will ultimately underpin future phenomena such as
smart cities. Crucially, the machine is able to simultaneously monitor all of
this globally, continuously tracking whether context changes sufficiently to
materially alter its projections.”

“Where the deployment or
commercial application of technologies is likely to be hampered by regulatory
hurdles or public opinion, such as home deliveries by drones or selective human
gene editing, AMPLYFI’s DataVoyant technology enables us to monitor
developments in these fields globally too. Conversely, it enables us to monitor
where regulation is evolving to select and incentivise specific technologies.”

“In a world where there are more
questions than answers, we believe it is better to base business decisions from
a position of informed knowledge than from mere opinion. AMPLYFI’s business
intelligence platforms, driven by AI and machine learning technology, enable
our clients to unlock the entire internet for themselves, both the Surface and
Deep Web, in order to generate insights that their competitors are not seeing
and to provide quantifiable windows into the future.”